# AI Workflow Redesign Lab

Practical corporate course for applying AI to workflow redesign, with exercises on realistic work, reusable materials and clear governance criteria.

- Duration: 8 hours, configurable as 2 or 4 sessions
- Mode: In-person or online lab, with guided exercises and materials adapted to the client.
- Profile: For company teams, operational functions and managers; no programming required.
- Final output: Operating canvas for workflow redesign.
- Choose it if: When the company wants concrete progress on workflow redesign and needs training that produces usable workflows, not abstract theory.

## The problem it solves

Companies often approach workflow redesign through scattered experiments: a few prompts, a few enthusiastic users, many doubts about data, quality and responsibility. This course turns that uncertainty into an operating method. Participants work on realistic scenarios, learn where AI helps, where human review remains essential and how to make the practice repeatable inside the company.

## Audience

For company teams, operational functions and managers; no programming required.

## When to choose it

Choose this course when the company wants concrete progress on workflow redesign and needs training that produces usable workflows, not abstract theory.

## Concrete outcomes

- Map the work and the decisions where AI can reduce friction.
- Build practical instructions, checklists and review criteria.
- Identify data, privacy and responsibility boundaries.
- Create reusable examples for the team.
- Define next steps for adoption and governance.

## Program

### 1. Map the real work

Activities, decisions, information handoffs and bottlenecks.

### 2. Assess AI potential

Impact, feasibility, risk, data quality and control level.

### 3. Redesign the workflow

Roles, inputs, outputs, reviews, escalation and traceability.

### 4. Move into adoption

Metrics, minimum governance, roadmap and operating ownership.

## Practical exercises

- Map a realistic process connected to workflow redesign.
- Create AI-assisted outputs and review them critically.
- Define escalation and human review points.
- Build a reusable checklist for daily work.

## Materials delivered

- Operating canvas for workflow redesign.
- Prompt and instruction templates.
- Quality and privacy checklist.
- Risk/control matrix.
- Adoption notes for the team.

## Data, privacy and limits

The course uses synthetic, public, anonymised or client-approved materials. It explains how to minimise data exposure, protect confidential information, verify outputs and keep human responsibility explicit.

## Prerequisites

No programming required. Familiarity with the business process is useful.

## FAQ

### Is the course tool-specific?

No. Patterns and workflows are adapted to the tools and policies chosen with the client.

### Can company data be used?

Only when accounts, contracts and internal policies allow it. Otherwise synthetic or anonymised data is used.

### What remains after the course?

Reusable materials, examples, checklists and a clear set of next steps.

### Is it theoretical?

No. The course is built around practical exercises and decisions close to real work.

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